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Lead Data Engineer
Lead Data EngineerMindlance • Boston, MA, US
Lead Data Engineer

Lead Data Engineer

Mindlance • Boston, MA, US
[job_card.variable_hours_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Job Description

Hybrid Role in Boston, MA

Only W2,

No C2C,

We are not able provide Sponsorship

Job description :

  • Data Pipeline Development : Design, implement, and maintain robust, scalable, and efficient data pipelines using Jenkins for automated data extraction, transformation, and loading (ETL) processes.
  • Relational Database Management : Manage and optimize relational databases (e.g., MySQL, PostgreSQL) to ensure data integrity, availability, and performance for diverse applications and analytical purposes.
  • API Integration : Collaborate with software developers to integrate data from various sources through APIs, ensuring seamless data flow between systems and applications.
  • Data Modeling and Architecture : Create and maintain data models and data architecture to support analytics and reporting needs, ensuring data consistency and proper documentation.
  • Data Analysis and Insights : Utilize Python and RDS to perform advanced data analysis, interpret complex data sets, and deliver actionable insights to key stakeholders and decision-makers.
  • Performance Optimization : Identify and resolve performance bottlenecks within data pipelines, databases, and queries to improve system efficiency and response times.
  • Data Quality Assurance : Implement data quality checks and validation processes to ensure the accuracy and reliability of data throughout the data ecosystem.
  • Data Security and Compliance : Maintain data security standards and compliance with data protection regulations, implementing necessary measures to safeguard sensitive information.
  • Collaboration and Communication : Work closely with cross-functional teams, including data scientists, business analysts, and IT, to understand data requirements, develop solutions, and present findings effectively.

Skills :

  • Bachelor's degree or relevant experience in Computer Science, Data Science, Information Technology, or a related field. An advanced degree / experience is preferred.
  • Proven experience as a Data Engineer, Data Analyst, or a related role with a strong technical background in Jenkins, Relational Databases, APIs, Python, and RDS.
  • Solid understanding of data modeling, database design principles, and data warehousing concepts.
  • Proficiency in programming languages like Python, SQL, and RDS for data manipulation, analysis, and automation tasks.
  • Familiarity with cloud-based technologies, such as AWS, GCP, or Azure, and the ability to leverage cloud services for data management.
  • Experience with Jenkins for automated build, test, and deployment processes.
  • Strong problem-solving skills and the ability to troubleshoot data-related issues efficiently.
  • Excellent communication and collaboration skills to work effectively in a team-oriented environment.
  • A passion for data-driven decision-making and a keen eye for detail.
  • Knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Cyber Security :

  • The client is looking for data-security experience within data engineering, not a traditional cybersecurity role.
  • They want someone who has secured cloud-based ETL pipelines, handled IAM / RBAC, protected data in S3 and RDS, secured Jenkins pipelines, and implemented encryption, access controls, and basic compliance practices as part of their data engineering work.
  • EEO : “Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority / Gender / Disability / Religion / LGBTQI / Age / Veterans. ”

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